From zero to a RAG system: successes and failures
Building a production RAG system is far more about data pipelines, indexing strategy, and infrastructure tradeoffs than model choice, with most failures coming f…
en.andros.dev/blog/aa31d744/from-zero-...
ATLAS
Adaptive Test-time Learning and Autonomous Specialization.
https://github.com/itigges22/ATLAS
Autograd and Mutation
How does PyTorch autograd deal with mutation? In particular, what happens when a mutation occurs on a view, which aliases with some other tensor? In 2017, Sam Gross implemented support for in-place operations on views, b…
https://blog.ezyang.com/2026/03/autograd-and-mutation/
django-modern-rest
Modern REST framework for Django with types and async support!
https://github.com/wemake-services/django-modern-rest
Building a Navier-Stokes Solver in Python from Scratch: Simulating Airflow
A hands-on guide to implementing CFD with NumPy, from discretization to airflow simulation around a bird's wing
towardsdatascience.com/building-a-navier-stokes...
vectorize-io / hindsight
Hindsight: Agent Memory That Learns
https://github.com/vectorize-io/hindsight
NumPy as Synth Engine
NumPy can be used as a real time sound synthesis engine, generating all audio directly from mathematical functions like waves, noise, and filters without any pre recorded samples. The broader idea is that power…
kennethreitz.org/essays/2026-03-29-numpy_...
Why pylock.toml includes digital attestations
Including digital attestations in pylock.toml allows developers to verify the origin and integrity of dependencies, not just their versions and hashes, improving protection against suppl…
snarky.ca/why-pylock-toml-includes...
How Clean Code Turns Into Overengineering
This video is about how code that looks clean can still hide a bad design, and why overusing tiny abstractions can make a program harder to understand and change. It refactors a Python reporting example by simpl…
https://www.youtube.com/watch?v=U4sPMwAiXco
claude-howto
A visual, example-driven guide to Claude Code - from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
https://github.com/luongnv89/claude-howto
diffly
Utility package for comparing polars data frames.
https://github.com/Quantco/diffly
Smello
A developer tool that captures outgoing HTTP requests from your code and displays them in a local web dashboard.
https://github.com/smelloscope/smello
Fixed Python autocomplete
The post suggests that heavy LSP and static analysis approaches are unnecessary for many common autocomplete scenarios. It shows a lightweight, pattern-based approach can deliver faster, more responsive suggestions without f…
https://matan-h.com/better-python-autocomplete
Oxyde ORM
A type-safe, Pydantic-centric asynchronous ORM with a high-performance Rust core designed for clarity, speed, and reliability.
https://github.com/mr-fatalyst/oxyde
Pydantic AI - Intro to Agentic AI with Pydantic AI framework
We'll look at using Pydantic AI to build agent-based workflows, starting with simple fundamentals, and building up to more complex examples that use vector databas…
www.youtube.com/playlist
agentscope-ai / ReMe
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
https://github.com/agentscope-ai/ReMe
Python Hub Weekly Digest for 2026-04-05
https://pythonhub.dev/digest/2026-04-05/
justx
A TUI command launcher built on top of just. Define recipes once, run them anywhere.
https://github.com/fpgmaas/justx
rsloop
An event loop for asyncio written in Rust.
https://github.com/RustedBytes/rsloop
Build Your Own Openclaw - A step by step guide, using python
https://github.com/czl9707/build-your-own-openclaw
The Hidden Mechanism Behind Clean Python APIs (Descriptor Deep Dive)
Descriptors define how Python resolves attribute access, explaining why values sometimes come from the instance, class, or elsewhere in non-obvious ways. Understanding descriptor rules…
https://www.youtube.com/watch?v=7SUzTOkUVLY
LiteLLM Python package compromised by supply-chain attack
https://github.com/BerriAI/litellm/issues/24512
Visitran
Build data transformation pipelines using Python with a visual IDE and AI assistant.
https://github.com/Zipstack/visitran
OpenAI to acquire Astral
www.reddit.com/r/Python/comments/1rxzy4...
RSA and Python
https://xnacly.me/posts/2023/rsa/
Reinventing Python's AsyncIO
The post explores a redesign of Python’s async runtime, arguing that the current async/await and event-loop model adds unnecessary complexity, and proposing a simpler runtime where concurrency is handled automaticall…
https://blog.baro.dev/p/reinventing-pythons-asyncio
Would it have been better if Meta bought Astral.sh instead?
www.reddit.com/r/Python/comments/1rygls...
How we optimized Dash's relevance judge with DSPy
Dropbox used DSPy to turn prompt engineering for our relevance judge into a measurable, automated optimization loop, improving task performance, cost, and how …
dropbox.tech/machine-learning/optimiz...
Using Claude to fix PyPy3.11 test failures securely
This post describes using Claude to assist in fixing PyPy 3.11 test failures, with all generated changes run in a sandbox and verified locally. It highlights …
pypy.org/posts/2026/03/using-clau...
Python Type Checker Comparison: Typing Spec Conformance
When you write typed Python, you expect your type checker to follow the rules of the language. But how closely do today's type checkers actually follow the Python typing specification? …
https://pyrefly.org/blog/typing-conformance-comparison/